Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images-Nevus and Melanoma.

Automated region of interest detection in histopathological image analysis is a challenging and important topic with tremendous potential impact on clinical practice. The deep learning methods used in computational pathology may help us to reduce costs and increase the speed and accuracy of cancer diagnosis. We started with the UNC Melanocytic Tumor Dataset cohort which contains 160 hematoxylin and eosin whole slide images of primary melanoma (86) and nevi (74).

Computation of ancestry scores with mixed families and unrelated individuals.

The issue of robustness to family relationships in computing genotype ancestry scores such as eigenvector projections has received increased attention in genetic association, and is particularly challenging when sets of both unrelated individuals and closely related family members are included. The current standard is to compute loadings (left singular vectors) using unrelated individuals and to compute projected scores for remaining family members. However, projected ancestry scores from this approach suffer from shrinkage toward zero.

Statistical significance for hierarchical clustering.

Cluster analysis has proved to be an invaluable tool for the exploratory and unsupervised analysis of high-dimensional datasets. Among methods for clustering, hierarchical approaches have enjoyed substantial popularity in genomics and other fields for their ability to simultaneously uncover multiple layers of clustering structure. A critical and challenging question in cluster analysis is whether the identified clusters represent important underlying structure or are artifacts of natural sampling variation.

Image and statistical analysis of melanocytic histology.

Aims: We applied digital image analysis techniques to study selected types of melanocytic lesions.

Methods And Results: We used advanced digital image analysis to compare melanocytic lesions as follows: (i) melanoma to nevi, (ii) melanoma subtypes to nevi, (iii) severely dysplastic nevi to other nevi and (iv) melanoma to severely dysplastic nevi. We were successful in differentiating melanoma from nevi [receiver operating characteristic area (ROC) 0.

Measured visual acuity of fellow eyes as a prognostic factor in macular hole surgery.

Purpose: To investigate the effect of the vision of the fellow eye on the visual acuity of eyes after successful macular hole surgery.

Design: Prospective consecutive series.

Methods: A consecutive series of eyes with successful macular hole closure were studied and assigned to one of two groups according to the visual acuity of the fellow eye; a group with visual acuity less than 20/200 and a group with visual acuity of 20/200 or better.